title stringlengths 7 239 | abstract stringlengths 7 2.76k | cs int64 0 1 | phy int64 0 1 | math int64 0 1 | stat int64 0 1 | quantitative biology int64 0 1 | quantitative finance int64 0 1 |
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Exploring cosmic origins with CORE: mitigation of systematic effects | We present an analysis of the main systematic effects that could impact the
measurement of CMB polarization with the proposed CORE space mission. We employ
timeline-to-map simulations to verify that the CORE instrumental set-up and
scanning strategy allow us to measure sky polarization to a level of accuracy
adequate... | 0 | 1 | 0 | 0 | 0 | 0 |
A non-ordinary peridynamics implementation for anisotropic materials | Peridynamics (PD) represents a new approach for modelling fracture mechanics,
where a continuum domain is modelled through particles connected via physical
bonds. This formulation allows us to model crack initiation, propagation,
branching and coalescence without special assumptions. Up to date, anisotropic
materials... | 1 | 1 | 0 | 0 | 0 | 0 |
Discrete-attractor-like Tracking in Continuous Attractor Neural Networks | Continuous attractor neural networks generate a set of smoothly connected
attractor states. In memory systems of the brain, these attractor states may
represent continuous pieces of information such as spatial locations and head
directions of animals. However, during the replay of previous experiences,
hippocampal ne... | 0 | 0 | 0 | 0 | 1 | 0 |
Framework for an Innovative Perceptive Mobile Network Using Joint Communication and Sensing | In this paper, we develop a framework for an innovative perceptive mobile
(i.e. cellular) network that integrates sensing with communication, and
supports new applications widely in transportation, surveillance and
environmental sensing. Three types of sensing methods implemented in the
base-stations are proposed, us... | 1 | 0 | 0 | 0 | 0 | 0 |
On the smallest non-abelian quotient of $\mathrm{Aut}(F_n)$ | We show that the smallest non-abelian quotient of $\mathrm{Aut}(F_n)$ is
$\mathrm{PSL}_n(\mathbb{Z}/2\mathbb{Z}) = \mathrm{L}_n(2)$, thus confirming a
conjecture of Mecchia--Zimmermann. In the course of the proof we give an
exponential (in $n$) lower bound for the cardinality of a set on which
$\mathrm{SAut}(F_n)$, t... | 0 | 0 | 1 | 0 | 0 | 0 |
Property Testing in High Dimensional Ising models | This paper explores the information-theoretic limitations of graph property
testing in zero-field Ising models. Instead of learning the entire graph
structure, sometimes testing a basic graph property such as connectivity, cycle
presence or maximum clique size is a more relevant and attainable objective.
Since proper... | 0 | 0 | 1 | 1 | 0 | 0 |
Stratification and duality for homotopical groups | In this paper, we show that the category of module spectra over
$C^*(B\mathcal{G},\mathbb{F}_p)$ is stratified for any $p$-local compact group
$\mathcal{G}$, thereby giving a support-theoretic classification of all
localizing subcategories of this category. To this end, we generalize Quillen's
$F$-isomorphism theorem... | 0 | 0 | 1 | 0 | 0 | 0 |
Efficiently and easily integrating differential equations with JiTCODE, JiTCDDE, and JiTCSDE | We present a family of Python modules for the numerical integration of
ordinary, delay, or stochastic differential equations. The key features are
that the user enters the derivative symbolically and it is
just-in-time-compiled, allowing the user to efficiently integrate differential
equations from a higher-level int... | 1 | 1 | 0 | 0 | 0 | 0 |
Adaptive Diffusions for Scalable Learning over Graphs | Diffusion-based classifiers such as those relying on the Personalized
PageRank and the Heat kernel, enjoy remarkable classification accuracy at
modest computational requirements. Their performance however is affected by the
extent to which the chosen diffusion captures a typically unknown label
propagation mechanism,... | 0 | 0 | 0 | 1 | 0 | 0 |
On the Discrimination Power and Effective Utilization of Active Learning Measures in Version Space Search | Active Learning (AL) methods have proven cost-saving against passive
supervised methods in many application domains. An active learner, aiming to
find some target hypothesis, formulates sequential queries to some oracle. The
set of hypotheses consistent with the already answered queries is called
version space. Sever... | 1 | 0 | 0 | 0 | 0 | 0 |
Torchbearer: A Model Fitting Library for PyTorch | We introduce torchbearer, a model fitting library for pytorch aimed at
researchers working on deep learning or differentiable programming. The
torchbearer library provides a high level metric and callback API that can be
used for a wide range of applications. We also include a series of built in
callbacks that can be... | 0 | 0 | 0 | 1 | 0 | 0 |
On estimation of contamination from hydrogen cyanide in carbon monoxide line intensity mapping | Line-intensity mapping surveys probe large-scale structure through spatial
variations in molecular line emission from a population of unresolved
cosmological sources. Future such surveys of carbon monoxide line emission,
specifically the CO(1-0) line, face potential contamination from a disjoint
population of sources... | 0 | 1 | 0 | 0 | 0 | 0 |
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints | Classifiers can be trained with data-dependent constraints to satisfy
fairness goals, reduce churn, achieve a targeted false positive rate, or other
policy goals. We study the generalization performance for such constrained
optimization problems, in terms of how well the constraints are satisfied at
evaluation time, ... | 0 | 0 | 0 | 1 | 0 | 0 |
Automated Website Fingerprinting through Deep Learning | Several studies have shown that the network traffic that is generated by a
visit to a website over Tor reveals information specific to the website through
the timing and sizes of network packets. By capturing traffic traces between
users and their Tor entry guard, a network eavesdropper can leverage this
meta-data to... | 1 | 0 | 0 | 0 | 0 | 0 |
DataCite as a novel bibliometric source: Coverage, strengths and limitations | This paper explores the characteristics of DataCite to determine its
possibilities and potential as a new bibliometric data source to analyze the
scholarly production of open data. Open science and the increasing data sharing
requirements from governments, funding bodies, institutions and scientific
journals has led ... | 1 | 0 | 0 | 0 | 0 | 0 |
Parameter Estimation of Complex Fractional Ornstein-Uhlenbeck Processes with Fractional Noise | We obtain strong consistency and asymptotic normality of a least squares
estimator of the drift coefficient for complex-valued Ornstein-Uhlenbeck
processes disturbed by fractional noise, extending the result of Y. Hu and D.
Nualart, [Statist. Probab. Lett., 80 (2010), 1030-1038] to a special
2-dimensions. The strateg... | 0 | 0 | 1 | 1 | 0 | 0 |
E-learning Information Technology Based on an Ontology Driven Learning Engine | In the article, proposed is a new e-learning information technology based on
an ontology driven learning engine, which is matched with modern pedagogical
technologies. With the help of proposed engine and developed question database
we have conducted an experiment, where students were tested. The developed
ontology d... | 1 | 0 | 0 | 0 | 0 | 0 |
Global regularity for 1D Eulerian dynamics with singular interaction forces | The Euler-Poisson-Alignment (EPA) system appears in mathematical biology and
is used to model, in a hydrodynamic limit, a set agents interacting through
mutual attraction/repulsion as well as alignment forces. We consider
one-dimensional EPA system with a class of singular alignment terms as well as
natural attractio... | 0 | 0 | 1 | 0 | 0 | 0 |
A $q$-generalization of the para-Racah polynomials | New bispectral orthogonal polynomials are obtained from an unconventional
truncation of the Askey-Wilson polynomials. In the limit $q \to 1$, they reduce
to the para-Racah polynomials which are orthogonal with respect to a quadratic
bi-lattice. The three term recurrence relation and q-difference equation are
obtained... | 0 | 0 | 1 | 0 | 0 | 0 |
Data Poisoning Attack against Unsupervised Node Embedding Methods | Unsupervised node embedding methods (e.g., DeepWalk, LINE, and node2vec) have
attracted growing interests given their simplicity and effectiveness. However,
although these methods have been proved effective in a variety of applications,
none of the existing work has analyzed the robustness of them. This could be
very... | 1 | 0 | 0 | 0 | 0 | 0 |
Entanglement properties of the two-dimensional SU(3) AKLT state | Two-dimensional (spin-$2$) Affleck-Kennedy-Lieb-Tasaki (AKLT) type valence
bond solids on the square lattice are known to be symmetry protected
topological (SPT) gapped spin liquids [Shintaro Takayoshi, Pierre Pujol, and
Akihiro Tanaka Phys. Rev. B ${\bf 94}$, 235159 (2016)]. Using the projected
entangled pair state ... | 0 | 1 | 0 | 0 | 0 | 0 |
Heart Rate Variability during Periods of Low Blood Pressure as a Predictor of Short-Term Outcome in Preterms | Efficient management of low blood pressure (BP) in preterm neonates remains
challenging with a considerable variability in clinical practice. The ability
to assess preterm wellbeing during episodes of low BP will help to decide when
and whether hypotension treatment should be initiated. This work aims to
investigate ... | 0 | 0 | 0 | 1 | 0 | 0 |
Understanding News Outlets' Audience-Targeting Patterns | The power of the press to shape the informational landscape of a population
is unparalleled, even now in the era of democratic access to all information
outlets. However, it is known that news outlets (particularly more traditional
ones) tend to discriminate who they want to reach, and who to leave aside. In
this wor... | 1 | 0 | 0 | 0 | 0 | 0 |
Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings | Selecting a representative vector for a set of vectors is a very common
requirement in many algorithmic tasks. Traditionally, the mean or median vector
is selected. Ontology classes are sets of homogeneous instance objects that can
be converted to a vector space by word vector embeddings. This study proposes a
method... | 1 | 0 | 0 | 0 | 0 | 0 |
The ESA Gaia Archive: Data Release 1 | ESA Gaia mission is producing the more accurate source catalogue in astronomy
up to now. That represents a challenge on the archiving area to make accessible
this information to the astronomers in an efficient way. Also, new astronomical
missions have reinforced the change on the development of archives. Archives,
as... | 0 | 1 | 0 | 0 | 0 | 0 |
Efficient algorithm for large spectral partitions | We present an amelioration of current known algorithms for optimal spectral
partitioning problems. The idea is to use the advantage of a representation
using density functions while decreasing the computational time. This is done
by restricting the computation to neighbourhoods of regions where the
associated densiti... | 0 | 0 | 1 | 0 | 0 | 0 |
A Martian Origin for the Mars Trojan Asteroids | Seven of the nine known Mars Trojan asteroids belong to an orbital cluster
named after its largest member 5261 Eureka. Eureka is likely the progenitor of
the whole cluster, which formed at least 1 Gyr ago. It was suggested that the
thermal YORP effect spun-up Eureka resulting with fragments being ejected by
the rotat... | 0 | 1 | 0 | 0 | 0 | 0 |
Far-infrared metallicity diagnostics: Application to local ultraluminous infrared galaxies | The abundance of metals in galaxies is a key parameter which permits to
distinguish between different galaxy formation and evolution models. Most of
the metallicity determinations are based on optical line ratios. However, the
optical spectral range is subject to dust extinction and, for high-z objects (z
> 3), some ... | 0 | 1 | 0 | 0 | 0 | 0 |
Quantum communication by means of collapse of the wave function | We show that quantum communication by means of collapse of the wave function
is possible. In this study, quantum communication does not mean quantum
teleportation or quantum cryptography, but transmission of information itself.
Because of consistency with special relativity, the possibility of the quantum
communicati... | 0 | 1 | 0 | 0 | 0 | 0 |
DeepTerramechanics: Terrain Classification and Slip Estimation for Ground Robots via Deep Learning | Terramechanics plays a critical role in the areas of ground vehicles and
ground mobile robots since understanding and estimating the variables
influencing the vehicle-terrain interaction may mean the success or the failure
of an entire mission. This research applies state-of-the-art algorithms in deep
learning to two... | 1 | 0 | 0 | 0 | 0 | 0 |
Characterizations of multinormality and corresponding tests of fit, including for Garch models | We provide novel characterizations of multivariate normality that incorporate
both the characteristic function and the moment generating function, and we
employ these results to construct a class of affine invariant, consistent and
easy-to-use goodness-of-fit tests for normality. The test statistics are
suitably weig... | 0 | 0 | 1 | 1 | 0 | 0 |
Grouped Gaussian Processes for Solar Power Prediction | We consider multi-task regression models where the observations are assumed
to be a linear combination of several latent node functions and weight
functions, which are both drawn from Gaussian process priors. Driven by the
problem of developing scalable methods for forecasting distributed solar and
other renewable po... | 0 | 0 | 0 | 1 | 0 | 0 |
Modeling epidemics on d-cliqued graphs | Since social interactions have been shown to lead to symmetric clusters, we
propose here that symmetries play a key role in epidemic modeling. Mathematical
models on d-ary tree graphs were recently shown to be particularly effective
for modeling epidemics in simple networks [Seibold & Callender, 2016]. To
account for... | 1 | 0 | 0 | 0 | 1 | 0 |
On the K-theory stable bases of the Springer resolution | Cohomological and K-theoretic stable bases originated from the study of
quantum cohomology and quantum K-theory. Restriction formula for cohomological
stable bases played an important role in computing the quantum connection of
cotangent bundle of partial flag varieties. In this paper we study the
K-theoretic stable ... | 0 | 0 | 1 | 0 | 0 | 0 |
Recency Bias in the Era of Big Data: The Need to Strengthen the Status of History of Mathematics in Nigerian Schools | The amount of information available to the mathematics teacher is so enormous
that the selection of desirable content is gradually becoming a huge task in
itself. With respect to the inclusion of elements of history of mathematics in
mathematics instruction, the era of Big Data introduces a high likelihood of
Recency... | 1 | 0 | 1 | 0 | 0 | 0 |
Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings | This paper presents a convergence analysis of kernel-based quadrature rules
in misspecified settings, focusing on deterministic quadrature in Sobolev
spaces. In particular, we deal with misspecified settings where a test
integrand is less smooth than a Sobolev RKHS based on which a quadrature rule
is constructed. We ... | 1 | 0 | 0 | 1 | 0 | 0 |
The toric Frobenius morphism and a conjecture of Orlov | We combine the Bondal-Uehara method for producing exceptional collections on
toric varieties with a result of the first author and Favero to expand the set
of varieties satisfying Orlov's Conjecture on derived dimension.
| 0 | 0 | 1 | 0 | 0 | 0 |
Friendship Maintenance and Prediction in Multiple Social Networks | Due to the proliferation of online social networks (OSNs), users find
themselves participating in multiple OSNs. These users leave their activity
traces as they maintain friendships and interact with other users in these
OSNs. In this work, we analyze how users maintain friendship in multiple OSNs
by studying users w... | 1 | 1 | 0 | 0 | 0 | 0 |
Learning to Generate Music with BachProp | As deep learning advances, algorithms of music composition increase in
performance. However, most of the successful models are designed for specific
musical structures. Here, we present BachProp, an algorithmic composer that can
generate music scores in many styles given sufficient training data. To adapt
BachProp to... | 1 | 0 | 0 | 0 | 0 | 0 |
How to Quantize $n$ Outputs of a Binary Symmetric Channel to $n-1$ Bits? | Suppose that $Y^n$ is obtained by observing a uniform Bernoulli random vector
$X^n$ through a binary symmetric channel with crossover probability $\alpha$.
The "most informative Boolean function" conjecture postulates that the maximal
mutual information between $Y^n$ and any Boolean function $\mathrm{b}(X^n)$ is
atta... | 1 | 0 | 1 | 0 | 0 | 0 |
Semi-Supervised Deep Learning for Monocular Depth Map Prediction | Supervised deep learning often suffers from the lack of sufficient training
data. Specifically in the context of monocular depth map prediction, it is
barely possible to determine dense ground truth depth images in realistic
dynamic outdoor environments. When using LiDAR sensors, for instance, noise is
present in the... | 1 | 0 | 0 | 0 | 0 | 0 |
Approximation Schemes for Clustering with Outliers | Clustering problems are well-studied in a variety of fields such as data
science, operations research, and computer science. Such problems include
variants of centre location problems, $k$-median, and $k$-means to name a few.
In some cases, not all data points need to be clustered; some may be discarded
for various r... | 1 | 0 | 0 | 0 | 0 | 0 |
Order preserving pattern matching on trees and DAGs | The order preserving pattern matching (OPPM) problem is, given a pattern
string $p$ and a text string $t$, find all substrings of $t$ which have the
same relative orders as $p$. In this paper, we consider two variants of the
OPPM problem where a set of text strings is given as a tree or a DAG. We show
that the OPPM p... | 1 | 0 | 0 | 0 | 0 | 0 |
Categorical Probabilistic Theories | We present a simple categorical framework for the treatment of probabilistic
theories, with the aim of reconciling the fields of Categorical Quantum
Mechanics (CQM) and Operational Probabilistic Theories (OPTs). In recent years,
both CQM and OPTs have found successful application to a number of areas in
quantum found... | 0 | 0 | 1 | 0 | 0 | 0 |
Maximal polynomial modulations of singular integrals | Let $K$ be a standard Hölder continuous Calderón--Zygmund kernel on
$\mathbb{R}^{\mathbf{d}}$ whose truncations define $L^2$ bounded operators. We
show that the maximal operator obtained by modulating $K$ by polynomial phases
of a fixed degree is bounded on $L^p(\mathbb{R}^{\mathbf{d}})$ for $1 < p <
\infty$. This ex... | 0 | 0 | 1 | 0 | 0 | 0 |
Effects of Hubbard term correction on the structural parameters and electronic properties of wurtzite Zn | The effects of including the Hubbard on-site Coulombic correction to the
structural parameters and valence energy states of wurtzite ZnO was explored.
Due to the changes in the structural parameters caused by correction of
hybridization between Zn d states and O p states, suitable parameters of
Hubbard terms have to ... | 0 | 1 | 0 | 0 | 0 | 0 |
A multi-scale Gaussian beam parametrix for the wave equation: the Dirichlet boundary value problem | We present a construction of a multi-scale Gaussian beam parametrix for the
Dirichlet boundary value problem associated with the wave equation, and study
its convergence rate to the true solution in the highly oscillatory regime. The
construction elaborates on the wave-atom parametrix of Bao, Qian, Ying, and
Zhang an... | 0 | 0 | 1 | 0 | 0 | 0 |
Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes | A functional risk curve gives the probability of an undesirable event as a
function of the value of a critical parameter of a considered physical system.
In several applicative situations, this curve is built using phenomenological
numerical models which simulate complex physical phenomena. To avoid cpu-time
expensiv... | 0 | 0 | 1 | 1 | 0 | 0 |
Global optimization for low-dimensional switching linear regression and bounded-error estimation | The paper provides global optimization algorithms for two particularly
difficult nonconvex problems raised by hybrid system identification: switching
linear regression and bounded-error estimation. While most works focus on local
optimization heuristics without global optimality guarantees or with guarantees
valid on... | 1 | 0 | 0 | 1 | 0 | 0 |
An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction | During visuomotor tasks, robots must compensate for temporal delays inherent
in their sensorimotor processing systems. Delay compensation becomes crucial in
a dynamic environment where the visual input is constantly changing, e.g.,
during the interacting with a human demonstrator. For this purpose, the robot
must be ... | 1 | 0 | 0 | 0 | 0 | 0 |
A CutFEM method for two-phase flow problems | In this article, we present a cut finite element method for two-phase
Navier-Stokes flows. The main feature of the method is the formulation of a
unified continuous interior penalty stabilisation approach for, on the one
hand, stabilising advection and the pressure-velocity coupling and, on the
other hand, stabilisin... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning under selective labels in the presence of expert consistency | We explore the problem of learning under selective labels in the context of
algorithm-assisted decision making. Selective labels is a pervasive selection
bias problem that arises when historical decision making blinds us to the true
outcome for certain instances. Examples of this are common in many
applications, rang... | 0 | 0 | 0 | 1 | 0 | 0 |
Opacity limit for supermassive protostars | We present a model for the evolution of supermassive protostars from their
formation at $M_\star \simeq 0.1\,\text{M}_\odot$ until their growth to
$M_\star \simeq 10^5\,\text{M}_\odot$. To calculate the initial properties of
the object in the optically thick regime we follow two approaches: based on
idealized thermod... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning to Imagine Manipulation Goals for Robot Task Planning | Prospection is an important part of how humans come up with new task plans,
but has not been explored in depth in robotics. Predicting multiple task-level
is a challenging problem that involves capturing both task semantics and
continuous variability over the state of the world. Ideally, we would combine
the ability ... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Combinatorial Power of the Weisfeiler-Lehman Algorithm | The classical Weisfeiler-Lehman method WL[2] uses edge colors to produce a
powerful graph invariant. It is at least as powerful in its ability to
distinguish non-isomorphic graphs as the most prominent algebraic graph
invariants. It determines not only the spectrum of a graph, and the angles
between standard basis ve... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning to Generate Reviews and Discovering Sentiment | We explore the properties of byte-level recurrent language models. When given
sufficient amounts of capacity, training data, and compute time, the
representations learned by these models include disentangled features
corresponding to high-level concepts. Specifically, we find a single unit which
performs sentiment an... | 1 | 0 | 0 | 0 | 0 | 0 |
Designing magnetism in Fe-based Heusler alloys: a machine learning approach | Combining material informatics and high-throughput electronic structure
calculations offers the possibility of a rapid characterization of complex
magnetic materials. Here we demonstrate that datasets of electronic properties
calculated at the ab initio level can be effectively used to identify and
understand physica... | 0 | 1 | 0 | 0 | 0 | 0 |
On a diffuse interface model for tumour growth with non-local interactions and degenerate mobilities | We study a non-local variant of a diffuse interface model proposed by
Hawkins--Darrud et al. (2012) for tumour growth in the presence of a chemical
species acting as nutrient. The system consists of a Cahn--Hilliard equation
coupled to a reaction-diffusion equation. For non-degenerate mobilities and
smooth potentials... | 0 | 0 | 1 | 0 | 0 | 0 |
Gradient Descent Can Take Exponential Time to Escape Saddle Points | Although gradient descent (GD) almost always escapes saddle points
asymptotically [Lee et al., 2016], this paper shows that even with fairly
natural random initialization schemes and non-pathological functions, GD can be
significantly slowed down by saddle points, taking exponential time to escape.
On the other hand,... | 1 | 0 | 1 | 1 | 0 | 0 |
Spectral parameter power series for arbitrary order linear differential equations | Let $L$ be the $n$-th order linear differential operator $Ly = \phi_0y^{(n)}
+ \phi_1y^{(n-1)} + \cdots + \phi_ny$ with variable coefficients. A
representation is given for $n$ linearly independent solutions of $Ly=\lambda r
y$ as power series in $\lambda$, generalizing the SPPS (spectral parameter
power series) solu... | 0 | 0 | 1 | 0 | 0 | 0 |
Antropologia de la Informatica Social: Teoria de la Convergencia Tecno-Social | The traditional humanism of the twentieth century, inspired by the culture of
the book, systematically distanced itself from the new society of digital
information; the Internet and tools of information processing revolutionized
the world, society during this period developed certain adaptive
characteristics based on... | 1 | 0 | 0 | 0 | 0 | 0 |
A Deterministic Approach to Avoid Saddle Points | Loss functions with a large number of saddle points are one of the main
obstacles to training many modern machine learning models. Gradient descent
(GD) is a fundamental algorithm for machine learning and converges to a saddle
point for certain initial data. We call the region formed by these initial
values the "attr... | 1 | 0 | 0 | 1 | 0 | 0 |
Automatic Generation of Typographic Font from a Small Font Subset | This paper addresses the automatic generation of a typographic font from a
subset of characters. Specifically, we use a subset of a typographic font to
extrapolate additional characters. Consequently, we obtain a complete font
containing a number of characters sufficient for daily use. The automated
generation of Jap... | 1 | 0 | 0 | 0 | 0 | 0 |
The Second Postulate of Euclid and the Hyperbolic Geometry | The article deals with the connection between the second postulate of Euclid
and non-Euclidean geometry. It is shown that the violation of the second
postulate of Euclid inevitably leads to hyperbolic geometry. This eliminates
misunderstandings about the sums of some divergent series. The connection
between hyperboli... | 0 | 0 | 1 | 0 | 0 | 0 |
Transkernel: An Executor for Commodity Kernels on Peripheral Cores | Modern mobile and embedded platforms see a large number of ephemeral tasks
driven by background activities. In order to execute such a task, the OS kernel
wakes up the platform beforehand and puts it back to sleep afterwards. In doing
so, the kernel operates various IO devices and orchestrates their power state
trans... | 1 | 0 | 0 | 0 | 0 | 0 |
No iterated identities satisfied by all finite groups | We show that there is no iterated identity satisfied by all finite groups.
For $w$ being a non-trivial word of length $l$, we show that there exists a
finite group $G$ of cardinality at most $\exp(l^C)$ which does not satisfy the
iterated identity $w$. The proof uses the approach of Borisov and Sapir, who
used dynami... | 0 | 0 | 1 | 0 | 0 | 0 |
Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning | The goal of this tutorial is to introduce key models, algorithms, and open
questions related to the use of optimization methods for solving problems
arising in machine learning. It is written with an INFORMS audience in mind,
specifically those readers who are familiar with the basics of optimization
algorithms, but ... | 1 | 0 | 0 | 1 | 0 | 0 |
A Unified Parallel Algorithm for Regularized Group PLS Scalable to Big Data | Partial Least Squares (PLS) methods have been heavily exploited to analyse
the association between two blocs of data. These powerful approaches can be
applied to data sets where the number of variables is greater than the number
of observations and in presence of high collinearity between variables.
Different sparse ... | 0 | 0 | 0 | 1 | 0 | 0 |
Asymptotic behaviour of the fifth Painlevé transcendents in the space of initial values | We study the asymptotic behaviour of the solutions of the fifth Painlevé
equation as the independent variable approaches zero and infinity in the space
of initial values. We show that the limit set of each solution is compact and
connected and, moreover, that any solution with the essential singularity at
zero has an... | 0 | 1 | 1 | 0 | 0 | 0 |
Hidden Treasures - Recycling Large-Scale Internet Measurements to Study the Internet's Control Plane | Internet-wide scans are a common active measurement approach to study the
Internet, e.g., studying security properties or protocol adoption. They involve
probing large address ranges (IPv4 or parts of IPv6) for specific ports or
protocols. Besides their primary use for probing (e.g., studying protocol
adoption), we s... | 1 | 0 | 0 | 0 | 0 | 0 |
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms | We present a method for metric optimization in the Large Deformation
Diffeomorphic Metric Mapping (LDDMM) framework, by treating the induced
Riemannian metric on the space of diffeomorphisms as a kernel in a machine
learning context. For simplicity, we choose the kernel Fischer Linear
Discriminant Analysis (KLDA) as ... | 0 | 0 | 0 | 1 | 0 | 0 |
On a direct algorithm for constructing recursion operators and Lax pairs for integrable models | We suggested an algorithm for searching the recursion operators for nonlinear
integrable equations. It was observed that the recursion operator $R$ can be
represented as a ratio of the form $R=L_1^{-1}L_2$ where the linear
differential operators $L_1$ and $L_2$ are chosen in such a way that the
ordinary differential ... | 0 | 1 | 0 | 0 | 0 | 0 |
Network Classification and Categorization | To the best of our knowledge, this paper presents the first large-scale study
that tests whether network categories (e.g., social networks vs. web graphs)
are distinguishable from one another (using both categories of real-world
networks and synthetic graphs). A classification accuracy of $94.2\%$ was
achieved using ... | 1 | 0 | 0 | 1 | 0 | 0 |
A Polynomial-Time Algorithm for Solving the Minimal Observability Problem in Conjunctive Boolean Networks | Many complex systems in biology, physics, and engineering include a large
number of state-variables, and measuring the full state of the system is often
impossible. Typically, a set of sensors is used to measure part of the
state-variables. A system is called observable if these measurements allow to
reconstruct the ... | 1 | 0 | 1 | 0 | 0 | 0 |
The Description and Scaling Behavior for the Inner Region of the Boundary Layer for 2-D Wall-bounded Flows | A second derivative-based moment method is proposed for describing the
thickness and shape of the region where viscous forces are dominant in
turbulent boundary layer flows. Rather than the fixed location sublayer model
presently employed, the new method defines thickness and shape parameters that
are experimentally ... | 0 | 1 | 0 | 0 | 0 | 0 |
Completely Sidon sets in $C^*$-algebras (New title) | A sequence in a $C^*$-algebra $A$ is called completely Sidon if its span in
$A$ is completely isomorphic to the operator space version of the space
$\ell_1$ (i.e. $\ell_1$ equipped with its maximal operator space structure).
The latter can also be described as the span of the free unitary generators in
the (full) $C^... | 0 | 0 | 1 | 0 | 0 | 0 |
Conflict-Free Coloring of Planar Graphs | A conflict-free k-coloring of a graph assigns one of k different colors to
some of the vertices such that, for every vertex v, there is a color that is
assigned to exactly one vertex among v and v's neighbors. Such colorings have
applications in wireless networking, robotics, and geometry, and are
well-studied in gra... | 1 | 0 | 1 | 0 | 0 | 0 |
Explicit solutions to utility maximization problems in a regime-switching market model via Laplace transforms | We study the problem of utility maximization from terminal wealth in which an
agent optimally builds her portfolio by investing in a bond and a risky asset.
The asset price dynamics follow a diffusion process with regime-switching
coefficients modeled by a continuous-time finite-state Markov chain. We
consider an inv... | 0 | 0 | 0 | 0 | 0 | 1 |
Spectroscopic study of the elusive globular cluster ESO452-SC11 and its surroundings | Globular clusters (GCs) are amongst the oldest objects in the Galaxy and play
a pivotal role in deciphering its early history. We present the first
spectroscopic study of the GC ESO452-SC11 using the AAOmega spectrograph at
medium resolution. Given the sparsity of this object and high degree of
foreground contaminati... | 0 | 1 | 0 | 0 | 0 | 0 |
The Fundamental Infinity-Groupoid of a Parametrized Family | Given an infinity-category C, one can naturally construct an
infinity-category Fam(C) of families of objects in C indexed by
infinity-groupoids. An ordinary categorical version of this construction was
used by Borceux and Janelidze in the study of generalized covering maps in
categorical Galois theory. In this paper,... | 0 | 0 | 1 | 0 | 0 | 0 |
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation | Training 3D object detectors for autonomous driving has been limited to small
datasets due to the effort required to generate annotations. Reducing both task
complexity and the amount of task switching done by annotators is key to
reducing the effort and time required to generate 3D bounding box annotations.
This pap... | 0 | 0 | 0 | 1 | 0 | 0 |
Epidemic spreading in multiplex networks influenced by opinion exchanges on vaccination | We study the changes of opinions about vaccination together with the
evolution of a disease. In our model we consider a multiplex network consisting
of two layers. One of the layers corresponds to a social network where people
share their opinions and influence others opinions. The social model that rules
the dynamic... | 0 | 1 | 0 | 0 | 0 | 0 |
CASP Solutions for Planning in Hybrid Domains | CASP is an extension of ASP that allows for numerical constraints to be added
in the rules. PDDL+ is an extension of the PDDL standard language of automated
planning for modeling mixed discrete-continuous dynamics.
In this paper, we present CASP solutions for dealing with PDDL+ problems,
i.e., encoding from PDDL+ to ... | 1 | 0 | 0 | 0 | 0 | 0 |
Primordial black holes from inflaton and spectator field perturbations in a matter-dominated era | We study production of primordial black holes (PBHs) during an early
matter-dominated phase. As a source of perturbations, we consider either the
inflaton field with a running spectral index or a spectator field that has a
blue spectrum and thus provides a significant contribution to the PBH
production at small scale... | 0 | 1 | 0 | 0 | 0 | 0 |
State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning | Typical reinforcement learning (RL) agents learn to complete tasks specified
by reward functions tailored to their domain. As such, the policies they learn
do not generalize even to similar domains. To address this issue, we develop a
framework through which a deep RL agent learns to generalize policies from
smaller,... | 1 | 0 | 0 | 1 | 0 | 0 |
Robust Imitation of Diverse Behaviors | Deep generative models have recently shown great promise in imitation
learning for motor control. Given enough data, even supervised approaches can
do one-shot imitation learning; however, they are vulnerable to cascading
failures when the agent trajectory diverges from the demonstrations. Compared
to purely supervis... | 1 | 0 | 0 | 0 | 0 | 0 |
Efficient Measurement of the Vibrational Rogue Waves by Compressive Sampling Based Wavelet Analysis | In this paper we discuss the possible usage of the compressive sampling based
wavelet analysis for the efficient measurement and for the early detection of
one dimensional (1D) vibrational rogue waves. We study the construction of the
triangular (V-shaped) wavelet spectra using compressive samples of rogue waves
that... | 0 | 0 | 1 | 0 | 0 | 0 |
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes | This paper presents SceneCut, a novel approach to jointly discover previously
unseen objects and non-object surfaces using a single RGB-D image. SceneCut's
joint reasoning over scene semantics and geometry allows a robot to detect and
segment object instances in complex scenes where modern deep learning-based
methods... | 1 | 0 | 0 | 0 | 0 | 0 |
An Invariant Model of the Significance of Different Body Parts in Recognizing Different Actions | In this paper, we show that different body parts do not play equally
important roles in recognizing a human action in video data. We investigate to
what extent a body part plays a role in recognition of different actions and
hence propose a generic method of assigning weights to different body points.
The approach is... | 1 | 0 | 0 | 0 | 0 | 0 |
Forecasting Crime with Deep Learning | The objective of this work is to take advantage of deep neural networks in
order to make next day crime count predictions in a fine-grain city partition.
We make predictions using Chicago and Portland crime data, which is augmented
with additional datasets covering weather, census data, and public
transportation. The... | 0 | 0 | 0 | 1 | 0 | 0 |
A family of compact semitoric systems with two focus-focus singularities | About 6 years ago, semitoric systems were classified by Pelayo & Vu Ngoc by
means of five invariants. Standard examples are the coupled spin oscillator on
$\mathbb{S}^2 \times \mathbb{R}^2$ and coupled angular momenta on $\mathbb{S}^2
\times \mathbb{S}^2$, both having exactly one focus-focus singularity. But so
far t... | 0 | 0 | 1 | 0 | 0 | 0 |
Mixed Threefolds Isogenous to a Product | In this paper we study \emph{threefolds isogenous to a product of mixed type}
i.e. quotients of a product of three compact Riemann surfaces $C_i$ of genus at
least two by the action of a finite group $G$, which is free, but not diagonal.
In particular, we are interested in the systematic construction and
classificati... | 0 | 0 | 1 | 0 | 0 | 0 |
Discriminatory Transfer | We observe standard transfer learning can improve prediction accuracies of
target tasks at the cost of lowering their prediction fairness -- a phenomenon
we named discriminatory transfer. We examine prediction fairness of a standard
hypothesis transfer algorithm and a standard multi-task learning algorithm, and
show ... | 1 | 0 | 0 | 1 | 0 | 0 |
Ultrafast relaxation of hot phonons in Graphene-hBN Heterostructures | Fast carrier cooling is important for high power graphene based devices.
Strongly Coupled Optical Phonons (SCOPs) play a major role in the relaxation of
photoexcited carriers in graphene. Heterostructures of graphene and hexagonal
boron nitride (hBN) have shown exceptional mobility and high saturation
current, which ... | 0 | 1 | 0 | 0 | 0 | 0 |
Non-linear Associative-Commutative Many-to-One Pattern Matching with Sequence Variables | Pattern matching is a powerful tool which is part of many functional
programming languages as well as computer algebra systems such as Mathematica.
Among the existing systems, Mathematica offers the most expressive pattern
matching. Unfortunately, no open source alternative has comparable pattern
matching capabilitie... | 1 | 0 | 0 | 0 | 0 | 0 |
Pair Background Envelopes in the SiD Detector | The beams at the ILC produce electron positron pairs due to beam-beam
interactions. This note presents for the first time a study of these processes
in a detailed simulation, which shows that these pair background particles
appear at angles that extend to the inner layers of the detector. The full data
set of pairs p... | 0 | 1 | 0 | 0 | 0 | 0 |
Expansion of percolation critical points for Hamming graphs | The Hamming graph $H(d,n)$ is the Cartesian product of $d$ complete graphs on
$n$ vertices. Let $m=d(n-1)$ be the degree and $V = n^d$ be the number of
vertices of $H(d,n)$. Let $p_c^{(d)}$ be the critical point for bond
percolation on $H(d,n)$. We show that, for $d \in \mathbb N$ fixed and $n \to
\infty$,
\begin{equ... | 0 | 0 | 1 | 0 | 0 | 0 |
Efficiently Manifesting Asynchronous Programming Errors in Android Apps | Android, the #1 mobile app framework, enforces the single-GUI-thread model,
in which a single UI thread manages GUI rendering and event dispatching. Due to
this model, it is vital to avoid blocking the UI thread for responsiveness. One
common practice is to offload long-running tasks into async threads. To achieve
th... | 1 | 0 | 0 | 0 | 0 | 0 |
AI Challenges in Human-Robot Cognitive Teaming | Among the many anticipated roles for robots in the future is that of being a
human teammate. Aside from all the technological hurdles that have to be
overcome with respect to hardware and control to make robots fit to work with
humans, the added complication here is that humans have many conscious and
subconscious ex... | 1 | 0 | 0 | 0 | 0 | 0 |
Generalizing the MVW involution, and the contragredient | For certain quasi-split reductive groups $G$ over a general field $F$, we
construct an automorphism $\iota_G$ of $G$ over $F$, well-defined as an element
of ${\rm Aut}(G)(F)/jG(F)$ where $j:G(F) \rightarrow {\rm Aut}(G)(F)$ is the
inner-conjugation action of $G(F)$ on $G$. The automorphism $\iota_G$
generalizes (alth... | 0 | 0 | 1 | 0 | 0 | 0 |
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